Search Results for author: Yutaka Sasaki

Found 17 papers, 2 papers with code

Improving Supervised Drug-Protein Relation Extraction with Distantly Supervised Models

no code implementations BioNLP (ACL) 2022 Naoki Iinuma, Makoto Miwa, Yutaka Sasaki

To overcome this issue, our methods indirectly utilize distant supervision data with manually annotated training data.

DrugProt

Physical Context and Timing Aware Sequence Generating GANs

no code implementations28 Sep 2021 Hayato Futase, Tomoki Tsujimura, Tetsuya Kajimoto, Hajime Kawarazaki, Toshiyuki Suzuki, Makoto Miwa, Yutaka Sasaki

Furthermore, it is difficult to generate the changes at a specific timing and they often do not match with actual changes.

A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

1 code implementation Findings (ACL) 2021 Kohei Makino, Makoto Miwa, Yutaka Sasaki

In this paper, we propose a novel edge-editing approach to extract relation information from a document.

SC-CoMIcs: A Superconductivity Corpus for Materials Informatics

no code implementations LREC 2020 Kyosuke Yamaguchi, Ryoji Asahi, Yutaka Sasaki

This paper describes a novel corpus tailored for the text mining of superconducting materials in Materials Informatics (MI), named SuperConductivety Corpus for Materials Informatics (SC-CoMIcs).

named-entity-recognition NER

Ontology-Style Relation Annotation: A Case Study

no code implementations LREC 2020 Savong Bou, Naoki Suzuki, Makoto Miwa, Yutaka Sasaki

In contrast, in our OSR annotation, a relation is annotated as a relation mention (i. e., not a link but a node) and domain and range links are annotated from the relation mention to its argument entity mentions.

named-entity-recognition NER +1

Utilizing Visual Forms of Japanese Characters for Neural Review Classification

no code implementations IJCNLP 2017 Yota Toyama, Makoto Miwa, Yutaka Sasaki

We propose a novel method that exploits visual information of ideograms and logograms in analyzing Japanese review documents.

Classification General Classification

Analyzing Well-Formedness of Syllables in Japanese Sign Language

no code implementations IJCNLP 2017 Satoshi Yawata, Makoto Miwa, Yutaka Sasaki, Daisuke Hara

We define a fine-grained feature set based on the hand-coded syllables and train a logistic regression classifier on labeled syllables, expecting to find the discriminative features from the trained classifier.

Active Learning

Extracting Drug-Drug Interactions with Attention CNNs

no code implementations WS 2017 Masaki Asada, Makoto Miwa, Yutaka Sasaki

We propose a novel attention mechanism for a Convolutional Neural Network (CNN)-based Drug-Drug Interaction (DDI) extraction model.

Feature Engineering General Classification +1

Bib2vec: An Embedding-based Search System for Bibliographic Information

no code implementations16 Jun 2017 Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki

We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility.

Bib2vec: Embedding-based Search System for Bibliographic Information

no code implementations EACL 2017 Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki

We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility.

Network Embedding Topic Models

Distributional Hypernym Generation by Jointly Learning Clusters and Projections

no code implementations COLING 2016 Josuke Yamane, Tomoya Takatani, Hitoshi Yamada, Makoto Miwa, Yutaka Sasaki

Most of the recent hypernym detection models focus on a hypernymy classification problem that determines whether a pair of words is in hypernymy or not.

General Classification Question Answering +1

Normalized Hierarchical SVM

no code implementations11 Aug 2015 Heejin Choi, Yutaka Sasaki, Nathan Srebro

We present improved methods of using structured SVMs in a large-scale hierarchical classification problem, that is when labels are leaves, or sets of leaves, in a tree or a DAG.

General Classification

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